adjust model config args

src/text_generation/adapters/llm/text_generation_foundation_model.py

@@ -47,16 +47,22 @@ class TextGenerationFoundationModel:
         # Create the text generation pipeline
         pipe = pipeline(
             "text-generation",
+            do_sample=True,
+            max_new_tokens=512,
             model=model,
-            tokenizer=tokenizer,
-            max_new_tokens=256,
-            temperature=0.7,
-            top_p=0.9,
             repetition_penalty=1.1,
+            temperature=0.3,
+            tokenizer=tokenizer,
             use_fast=True,
-            do_sample=True
+            pad_token_id=tokenizer.eos_token_id,
+            eos_token_id=tokenizer.eos_token_id,
         )
 
         # Create the LangChain LLM
-        return HuggingFacePipeline(pipeline=pipe)
+        return HuggingFacePipeline(
+            pipeline=pipe,
+            pipeline_kwargs={
+                "return_full_text": False,
+                "stop_sequence": ["<|end|>", "<|user|>", "</s>"]
+            })